Attenuated Total Reflection Fourier Transform Infrared Spectroscopy combined with chemometric modelling for the classification of clinically relevant Enterococci

Aims Attenuated Total Reflection Fourier Transform Infrared (ATR‐FT‐IR) Spectroscopy and chemometric modelling, including soft independent modelling by class analogy (SIMCA), partial least squares discriminant analysis (PLS‐DA) and support vector machine (SVM), were applied to attempt to discriminat...

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Veröffentlicht in:	Journal of applied microbiology 2021-03, Vol.130 (3), p.982-993
Hauptverfasser:	Nitrosetein, T., Wongwattanakul, M., Chonanant, C., Leelayuwat, C., Charoensri, N., Jearanaikoon, P., Lulitanond, A., Wood, B.R., Tippayawat, P., Heraud, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Attenuated Total Reflection Fourier Transform Infrared (ATR‐FT‐IR) Spectroscopy bacterial identification Bacterial Typing Techniques - methods Cell Wall - chemistry Cell walls Chemometrics Classification Clinical isolates Discriminant Analysis Enterococcus Enterococcus - chemistry Enterococcus - classification Enterococcus - isolation & purification Fourier analysis Fourier transforms Gram-Positive Bacterial Infections - microbiology Infrared reflection Infrared spectroscopy Least-Squares Analysis Modelling multivariate analysis Peptidoglycans Performance evaluation Polymerase chain reaction Polysaccharides Principal Component Analysis Principal components analysis Saccharides Spectra Spectroscopy, Fourier Transform Infrared - methods Spectrum analysis Support Vector Machine Support vector machines Teichoic acids
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